抄録
In order to deal with the recent serious problems of drug resistance in conjunction with antimicrobials, we developed a web application system called Chans (Charts and antibiogrammaking system) that is capable of analyzing integrated medical data from drug sensitivity tests. We focused on the practical importance of Cross-Resistance Rate (CRR), which is one of the integrated data by Chans. By using clinical data of bacterial species of Pseudomonas aeruginosa (P. aeruginosa) and Escherichia coli (E. coli) donated from a hospital, we will propose a new method of analyzing CRR. In this study, we examined the effectiveness of this method by the Nonmetric Asymmetric Multidimensional Scaling (NAMS). The results of NAMS are visualized on a twodimensional diagram, where the data-to-data distance corresponds to the similarity of the data. The size of the circles on the diagram represents the significance of the data. In the results, the
fluoroquinolones (inhibitors of DNA synthesis) appeared in the center of the diagram, while the aminoglycosides, tetracyclines, and macrolides (inhibitors of protein synthesis) appeared in the region to the left of the fluoroquinolones, and the carbapenems, cephems, and penicillins (inhibitors of cell wall synthesis) appeared in the region to the right of the fluoroquinolones. Finally, these placements of CRR were classified with the series of antimicrobials. We also noticed that the size of the circle of each antimicrobial reflects the degree of predominance of cross-resistance. We clarified from these results that the diagram of CRR can be used to visually comprehend transient changes in the cross-resistance of antimicrobials in clinical facilities. This knowledge is indispensable, especially when medical staff employ new antimicrobials. In addition, by comparing the diagrams before and after the prescription of medications in facilities, medical workers can check whether the staff’s treatments were really appropriate or not and optimize the whole process of treatment.
